knowledge-ingest

knowledge-ingest is a RAG & retrieval skill for AI agents, published by EvolutionAPI in the evo-nexus repository on GitHub. Skillspace rates knowledge-ingest D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Upload a file (PDF, DOCX, PPTX, XLSX, HTML, EPUB, image) or URL to the Knowledge base. Triggers Marker parsing, chunking, embedding, and async classification. Use when the user says 'index this PDF', 'add this URL to the knowledge base', 'upload these files to Academy', or pastes a file path/URL with ingestion intent.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
534

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubEvolutionAPI/evo-nexus

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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